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DAGBagM: learning directed acyclic graphs of mixed variables with an application to identify protein biomarkers for treatment response in ovarian cancer.
Chowdhury, Shrabanti; Wang, Ru; Yu, Qing; Huntoon, Catherine J; Karnitz, Larry M; Kaufmann, Scott H; Gygi, Steven P; Birrer, Michael J; Paulovich, Amanda G; Peng, Jie; Wang, Pei.
Afiliación
  • Chowdhury S; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
  • Wang R; Department of Statistics, University of California, Davis, CA, 95616, USA.
  • Yu Q; Department of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA.
  • Huntoon CJ; Division of Oncology Research and Department of Oncology, Mayo Clinic, Rochester, MN, 55905, USA.
  • Karnitz LM; Division of Oncology Research and Department of Oncology, Mayo Clinic, Rochester, MN, 55905, USA.
  • Kaufmann SH; Division of Oncology Research, Mayo Clinic, Rochester, MN, 55905, USA.
  • Gygi SP; Department of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA.
  • Birrer MJ; Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA.
  • Paulovich AG; Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA.
  • Peng J; Department of Statistics, University of California, Davis, CA, 95616, USA. jiepeng@ucdavis.edu.
  • Wang P; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA. pei.wang@mssm.edu.
BMC Bioinformatics ; 23(1): 321, 2022 Aug 05.
Article en En | MEDLINE | ID: mdl-35931981
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Ováricas Tipo de estudio: Prognostic_studies Límite: Child / Female / Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Ováricas Tipo de estudio: Prognostic_studies Límite: Child / Female / Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos